全部

1·Use the social tagging manager.

使用书签管理器。

2·Social tagging is also supported here.

这里还支持社会标记。

3·Tag clustering is an important research topic in Social Tagging System mining.

标签聚类是社会标签数据挖掘中一个非常重要的研究课题。

4·Finally, the development trends of research on tag recommendation methods in the social tagging system are forecast.

最后，总结本文工作，展望社会标注系统中标签推荐方法的研究发展趋势。

5·With enough users and more tweaking, social tagging can result in a system that works equally well for books, wine and music.

通过足够的用户量和更多打磨，社会化标签可以产生一个对书籍、红酒和音乐都很管用的推荐系统。

6·Recent approaches to recommendation engines, like the genetics-inspired Pandora and social tagging pioneered by del.icio.us, are intriguing.

最近被应用到推荐系统的一些方法，比如潘多拉的基因灵感和del.icio.us的社会化标签，都是值得思考的。

7·Firstly, tag 's meaning for user profile is proved, and clustering algorithms based on social tagging from the aspects of users, resources and tags are discussed.

首先是明确了标签对于用户模型的意义，接着，从用户、资源和标签三个角度对基于社会化标注的聚类算法进行了讨论。

8·Finally, studies on personalized information recommendation based on social tagging are analyzed, and find matrix, clustering and network analysis are three primarily methods.

最后，分析了社会化标注中个性化信息推荐的研究，发现借助矩阵、聚类和网络的分析是三种主要思路。

9·The paper goes on to describe a few methods of attacking social tagging systems that require creating remarkably few fake accounts, as few as 0.03% of the total accounts in the system.

该论文继续描述了一些攻击社会标签系统的方法，它们只需要通过建立极少的一些伪造用户来实现，伪造量只需要为系统所有用户数的0.03%。

10·Based on the introduction of the meaning and structure of social tagging, this paper mainly discusses the advancements of personalized information recommendation based on social tagging.

本文在对社会化标注的内涵和结构加以简单介绍的基础上，重点探讨了基于社会化标注进行推荐的相关进展。